4 ms·

This may indeed be interesting, but that is not what this paper focuses on.

• ebalit 8y ago
  From the abstract: "For any problem involving pixels or spatial representations, common intuition holds that convolutional neural networks may be appropriate. In this paper we show a striking counterexample to this intuition via the seemingly trivial coordinate transform problem, which simply requires learning a mapping between coordinates in (x,y) Cartesian space and one-hot pixel space. Although convolutional networks would seem appropriate for this task, we show that they fail spectacularly. We demonstrate and carefully analyze the failure first on a toy problem, at which point a simple fix becomes obvious." https://arxiv.org/abs/1807.03247 https://arxiv.org/abs/1807.03247